{"id":"W4416778219","doi":"10.18280/jesa.581013","title":"A Novel Deep Learning Framework for Predictive Fault Diagnosis in Dry-Type Transformers Using Vibration Signal Data Analysis Technique","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Vibration; Transformer; Fault (geology); Pattern recognition (psychology); Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003263848,0.001096011,0.001898505,0.003840686,0.0009211306,0.001090785,0.00169438,0.0009569896,0.0002532217],"category_scores_gemma":[0.003027376,0.001190949,0.0007087296,0.00687482,0.0002194208,0.00222621,0.0003768697,0.002910209,0.000004758081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041483,"about_ca_system_score_gemma":0.0004519414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004262654,"about_ca_topic_score_gemma":0.0003697622,"domain_scores_codex":[0.9929071,0.0007572952,0.0028985,0.00121751,0.0008845894,0.001334974],"domain_scores_gemma":[0.9947621,0.002297032,0.001008703,0.0009462183,0.0006409627,0.0003449471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002539796,0.0006626918,0.05301551,0.002087674,0.005357429,0.00007712503,0.002052858,0.6292608,0.008583731,0.0009161877,0.0002357583,0.2974963],"study_design_scores_gemma":[0.0009107843,0.0005125889,0.07208917,0.005417485,0.003726545,0.00007612709,0.0004159213,0.9065639,0.004266004,0.004729941,0.0003867917,0.0009047363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0262016,0.004070038,0.9647313,0.0001853481,0.0005973342,0.002803797,0.000324577,0.0007797076,0.0003063065],"genre_scores_gemma":[0.6037715,0.003074851,0.3921829,0.00006245088,0.0002297569,0.000361484,0.0001247761,0.0001700188,0.00002226614],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5775699,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671155606610479,"score_gpt":0.3245355950282868,"score_spread":0.297824038962182,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}